Triple
T37262244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batavia shipwreck |
E924285
|
entity |
| Predicate | numberOfPeopleKilledInMassacre |
P141262
|
FINISHED |
| Object | over 100 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: over 100 | Statement: [Batavia shipwreck, numberOfPeopleKilledInMassacre, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeopleKilledInMassacre Context triple: [Batavia shipwreck, numberOfPeopleKilledInMassacre, over 100]
-
A.
massacreCasualtiesEstimate
chosen
Indicates an estimated number of people who were killed or injured as a result of a massacre.
-
B.
massacreOccurred
Indicates that a large-scale, deliberate killing of multiple individuals took place in a specific event or context.
-
C.
massacreOccurredIn
Indicates that a massacre took place within the specified location or area.
-
D.
massacreAlsoKnownAs
Indicates that a particular massacre is known or referred to by an alternative name or names.
-
E.
massacreVictimsIncluded
Indicates that the set of victims in a massacre included the specified entities or group.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.